So, the onus comes back to the users (those who want to leverage data for making smarter decisions) to ask the “right” questions. But what questions to ask? Whether you are a CEO of a $15 Million online apparel shop or IT manager of web servers at a health industry giant like Kais...
asked Jan 9, 2022 in Data Science Interview Questions by matew (120 points) data-science +1 vote 1 answer 731 views When dealing with categorical values, should the 'year' column be encoded using OHE or OrdinalEncoder? answered Dec 20, 2021 in Machine Learning by AskDataScience (116k...
The problem is, some business leaders are intimidated by data scientists, they don’t know what questions to ask, and perhaps they don’t know what questions they should ask. Here are my tips for getting the most out of your data science team: 1. Understand the basics Get some basic ...
The problem is, some business leaders are intimidated by data scientists, they don’t know what questions to ask, and perhaps they don’t know what questions they should ask. Here are my tips for getting the most out of your data science team: 1. Understand the basics Get some basic ...
Data Science interview questions and answers for 2024 on topics ranging from probability, statistics, data science – to help crack data science job interviews.
Advanced data science-related questions General questions General questions are usually posed at the start of the interview and help break the ice a little. 1. “Tell me about yourself.” Despite its being a straightforward prompt, “Tell me about yourself” can be challenging to answer concisely...
Top data science questions and answers for 2018: How would you approach a categorical feature with high-cardinality? Answer to: How would you approach a categorical feature with high-cardinality? × What would you do to summarize a Twitter feed?
8. What are the scenarios that could cause a model to be retrained? 9. What are the prerequisites to become a Data Analyst? 10. What are the top tools used to perform Data Analysis? Data Analyst Interview Questions For Freshers 1. What are the key differences between Data Analysis and ...
You can find my take on the other questions, Q: What are the top two or three characteristics you would look for when trying to hire a data scientist? Q: How do you see the data science “method” evolving? at the link below. ...
What are the requirements of the data science scenario, including the accuracy, training time, linearity, number of parameters, and number of features? To help answer these questions, Azure Machine Learning provides a comprehensive portfolio of algorithms, such as multiclass decision forest, recommenda...